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Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients

BACKGROUND: Glioblastoma is the most common and devastating primary brain cancer. Radiotherapy is standard of care; however, it is associated with brain radiation toxicity (BRT). This study used a multi-omics approach to determine whether BRT-related genes (RGs) harbor survival prognostic value and...

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Autores principales: Reyes-González, Jesús, Barajas-Olmos, Francisco, García-Ortiz, Humberto, Magraner-Pardo, Lorena, Pons, Tirso, Moreno, Sergio, Aguirre-Cruz, Lucinda, Reyes-Abrahantes, Andy, Martínez-Hernández, Angélica, Contreras-Cubas, Cecilia, Barrios-Payan, Jorge, Ruiz-Garcia, Henry, Hernandez-Pando, Rogelio, Quiñones-Hinojosa, Alfredo, Orozco, Lorena, Abrahantes-Pérez, María del Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925695/
https://www.ncbi.nlm.nih.gov/pubmed/35802478
http://dx.doi.org/10.1093/neuonc/noac171
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author Reyes-González, Jesús
Barajas-Olmos, Francisco
García-Ortiz, Humberto
Magraner-Pardo, Lorena
Pons, Tirso
Moreno, Sergio
Aguirre-Cruz, Lucinda
Reyes-Abrahantes, Andy
Martínez-Hernández, Angélica
Contreras-Cubas, Cecilia
Barrios-Payan, Jorge
Ruiz-Garcia, Henry
Hernandez-Pando, Rogelio
Quiñones-Hinojosa, Alfredo
Orozco, Lorena
Abrahantes-Pérez, María del Carmen
author_facet Reyes-González, Jesús
Barajas-Olmos, Francisco
García-Ortiz, Humberto
Magraner-Pardo, Lorena
Pons, Tirso
Moreno, Sergio
Aguirre-Cruz, Lucinda
Reyes-Abrahantes, Andy
Martínez-Hernández, Angélica
Contreras-Cubas, Cecilia
Barrios-Payan, Jorge
Ruiz-Garcia, Henry
Hernandez-Pando, Rogelio
Quiñones-Hinojosa, Alfredo
Orozco, Lorena
Abrahantes-Pérez, María del Carmen
author_sort Reyes-González, Jesús
collection PubMed
description BACKGROUND: Glioblastoma is the most common and devastating primary brain cancer. Radiotherapy is standard of care; however, it is associated with brain radiation toxicity (BRT). This study used a multi-omics approach to determine whether BRT-related genes (RGs) harbor survival prognostic value and whether their encoded proteins represent novel therapeutic targets for glioblastoma. METHODS: RGs were identified through analysis of single-nucleotide variants associated with BRT (R-SNVs). Functional relationships between RGs were established using Protein-Protein Interaction networks. The influence of RGs and their functional groups on glioblastoma prognosis was evaluated using clinical samples from the Glioblastoma Bio-Discovery Portal database and validated using the Chinese Glioma Genome Atlas dataset. The identification of clusters of radiotoxic and putative pathogenic variants in proteins encoded by RGs was achieved by computational 3D structural analysis. RESULTS: We identified the BRT-related 15CAcBRT molecular signature with prognostic value in glioblastoma, by analysis of the COMT and APOE protein functional groups. Its external validation confirmed clinical relevance independent of age, MGMT promoter methylation status, and IDH mutation status. Interestingly, the genes IL6, APOE, and MAOB documented significant gene expression levels alteration, useful for drug repositioning. Biological networks associated with 15CAcBRT signature involved pathways relevant to cancer and neurodegenerative diseases. Analysis of 3D clusters of radiotoxic and putative pathogenic variants in proteins coded by RGs unveiled potential novel therapeutic targets in neuro-oncology. CONCLUSIONS: 15CAcBRT is a BRT-related molecular signature with prognostic significance for glioblastoma patients and represents a hub for drug repositioning and development of novel therapies.
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spelling pubmed-99256952023-02-14 Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients Reyes-González, Jesús Barajas-Olmos, Francisco García-Ortiz, Humberto Magraner-Pardo, Lorena Pons, Tirso Moreno, Sergio Aguirre-Cruz, Lucinda Reyes-Abrahantes, Andy Martínez-Hernández, Angélica Contreras-Cubas, Cecilia Barrios-Payan, Jorge Ruiz-Garcia, Henry Hernandez-Pando, Rogelio Quiñones-Hinojosa, Alfredo Orozco, Lorena Abrahantes-Pérez, María del Carmen Neuro Oncol Basic and Translational Investigations BACKGROUND: Glioblastoma is the most common and devastating primary brain cancer. Radiotherapy is standard of care; however, it is associated with brain radiation toxicity (BRT). This study used a multi-omics approach to determine whether BRT-related genes (RGs) harbor survival prognostic value and whether their encoded proteins represent novel therapeutic targets for glioblastoma. METHODS: RGs were identified through analysis of single-nucleotide variants associated with BRT (R-SNVs). Functional relationships between RGs were established using Protein-Protein Interaction networks. The influence of RGs and their functional groups on glioblastoma prognosis was evaluated using clinical samples from the Glioblastoma Bio-Discovery Portal database and validated using the Chinese Glioma Genome Atlas dataset. The identification of clusters of radiotoxic and putative pathogenic variants in proteins encoded by RGs was achieved by computational 3D structural analysis. RESULTS: We identified the BRT-related 15CAcBRT molecular signature with prognostic value in glioblastoma, by analysis of the COMT and APOE protein functional groups. Its external validation confirmed clinical relevance independent of age, MGMT promoter methylation status, and IDH mutation status. Interestingly, the genes IL6, APOE, and MAOB documented significant gene expression levels alteration, useful for drug repositioning. Biological networks associated with 15CAcBRT signature involved pathways relevant to cancer and neurodegenerative diseases. Analysis of 3D clusters of radiotoxic and putative pathogenic variants in proteins coded by RGs unveiled potential novel therapeutic targets in neuro-oncology. CONCLUSIONS: 15CAcBRT is a BRT-related molecular signature with prognostic significance for glioblastoma patients and represents a hub for drug repositioning and development of novel therapies. Oxford University Press 2022-07-08 /pmc/articles/PMC9925695/ /pubmed/35802478 http://dx.doi.org/10.1093/neuonc/noac171 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Basic and Translational Investigations
Reyes-González, Jesús
Barajas-Olmos, Francisco
García-Ortiz, Humberto
Magraner-Pardo, Lorena
Pons, Tirso
Moreno, Sergio
Aguirre-Cruz, Lucinda
Reyes-Abrahantes, Andy
Martínez-Hernández, Angélica
Contreras-Cubas, Cecilia
Barrios-Payan, Jorge
Ruiz-Garcia, Henry
Hernandez-Pando, Rogelio
Quiñones-Hinojosa, Alfredo
Orozco, Lorena
Abrahantes-Pérez, María del Carmen
Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title_full Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title_fullStr Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title_full_unstemmed Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title_short Brain radiotoxicity-related 15CAcBRT gene expression signature predicts survival prognosis of glioblastoma patients
title_sort brain radiotoxicity-related 15cacbrt gene expression signature predicts survival prognosis of glioblastoma patients
topic Basic and Translational Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925695/
https://www.ncbi.nlm.nih.gov/pubmed/35802478
http://dx.doi.org/10.1093/neuonc/noac171
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